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. This team explores and investigates how novel methods of fabrication and manufacture can enable new capabilities and functionality in high-value devices. We have a large portfolio of externally funded
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of multi-disciplinary researchers, led by Prof Pollock, using a range of innovative methods to establish GUIDE. The role will involve a variety of research tasks including, developing the GUIDE
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/Electrical or Communications Engineering (or equivalent experience). Desirable – MSc or PhD Level qualifications in Electrical and Electronic Engineering. Application requirements: Skills Sound understanding
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from your experience (maximum 500 words per statement), using the STAR method (Situation, Task, Action, Result). Where possible, examples should relate to library or Higher Education contexts
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to be considered for a role. For any informal queries, please contact Dom Chung on d.chung@mmu.ac.uk First stage of assessment will include an informal discussion and second stage will be a formal panel
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like to be considered for a role. For any informal queries, please contact Dom Chung on d.chung@mmu.ac.uk First stage of assessment will include an informal discussion and second stage will be a formal
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expertise in Artificial Intelligence and Human-Computer Interaction and an interest in applying technology to improve lives. You should have: A PhD (completed or near completion) in Computer Science or a
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process, methods, tools and applications Mentoring and supporting less senior colleagues Lead in communicating complex concepts Attending, contributing, and occasionally leading on ceremonies and other
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mentoring experience in Artificial Intelligence and have a PhD in Computer Science or a related discipline or have the equivalent industrial experience in Artificial Intelligence . You will be a strong
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knowledge and skills to deliver units confidently from the foundation year to postgraduate. You will be expected to have relevant teaching experience and a PhD in Computer Science, a related discipline, or